Understanding How Models Learn
Core Concepts and Terminology
| Aspect | Classification | Regression |
|---|---|---|
| Output | Categories | Numbers |
| Example | Survived: Yes/No | Length of stay: 4.2 days |
| Algorithms | Logistic regression, decision trees | Linear regression, decision trees |
| Evaluation | Accuracy, precision | RMSE, MAE |
Note - Some algorithms work for both (e.g., decision trees)
Sorting the Signal from the Noise
Contact:
Code & Slides:
/NHS-South-Central-and-West/code-club
… And don’t forget to give us your feedback.
SAT // Introduction to ML // February 2026